# All Employees: Wholesale Trade — OR (statewide) (NSA)

All Employees: Wholesale Trade — OR (statewide) (NSA) was down 1.5% year on year in September 2026, compared with −2.8% in August 2026.
The level stood at 74.00 thousands.
That is the highest reading since November 2024.
Over the past ten years it has ranged from −5.5% (May 2020) to 3.7% (Aug 2022), averaging 0.05%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OR.PAYEMS.M.NSA.IND-41000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-wholesale-trade-or-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 74.00 thousands | −1.5 |
| August 2026 | 73.40 thousands | −2.8 |
| July 2026 | 73.40 thousands | −3.0 |
| June 2026 | 73.70 thousands | −2.9 |
| May 2026 | 73.80 thousands | −2.9 |
| April 2026 | 73.30 thousands | −3.9 |
| March 2026 | 73.40 thousands | −3.3 |
| February 2026 | 73.50 thousands | −3.7 |
| January 2026 | 73.90 thousands | −2.8 |
| December 2025 | 74.60 thousands | −2.9 |
| November 2025 | 74.30 thousands | −3.5 |
| October 2025 | 74.70 thousands | −3.2 |
| September 2025 | 75.10 thousands | −3.2 |
| August 2025 | 75.50 thousands | −2.8 |
| July 2025 | 75.70 thousands | −2.9 |
| June 2025 | 75.90 thousands | −2.8 |
| May 2025 | 76.00 thousands | −2.7 |
| April 2025 | 76.30 thousands | −2.3 |
| March 2025 | 75.90 thousands | −2.8 |
| February 2025 | 76.30 thousands | −2.1 |
| January 2025 | 76.00 thousands | −2.2 |
| December 2024 | 76.80 thousands | −1.8 |
| November 2024 | 77.00 thousands | −1.4 |
| October 2024 | 77.20 thousands | −1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-OR.PAYEMS.M.NSA.IND-41000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-OR.PAYEMS.M.NSA.IND-41000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```